Import models
This section describes various ways to get model checkpoints and code into Studios. In principle, do exactly the same that you would do on your laptop today.
Import within Studios
Use any of these methods to import models from the Studio web app.
Upload to Drive
Click on the Drive icon > Add data, select the checkpoint file and press upload.
Upload your model checkpoint file to your Studio Drive.
The model will now be accessible from any Studio in the teamspace.
Once your model is uploaded, you can access the model from any Studio in the teamspace.
Upload to VSCode or Jupyter
Drag and drop the checkpoint file into the VSCode or Jupyter interface which will automatically upload the files.
Drag and drop your checkpoint file directly into VSCode (or Jupyter).
The model will now be available to access from any Studio in the teamspace. For more on Lightning SDK, read our in-depth guide.
Import from Hugging Face hub
This example shows how to download a model from the Hugging Face hub via the Studio terminal.
Use your Studio terminal to download models from model hubs like Hugging Face.
Import from Github
Find the repository that has the model checkpoints and clone the repo.
Git clone GitHub repos with model checkpoints into your Studio.
Import using Studio terminal
Use the Studio terminal to download any file (like model checkpoints) using the curl command.
Use the curl command in the Studio terminal to download files and model checkpoints.
Import from outside Studios
Use these methods to upload models from outside Lightning AI programatically.
Upload via CLI
Use the Lightning SDK to upload the model checkpoint into the teamspace.
Upload your checkpoint file into your Studio via terminal.
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